The Art of business intelligence is turning data into information, and information into insight
Data engineering
Our expert team members create powerful, reliable, scalable data pipelines and ensure data quality so that you can use your enterprise data to get profound business insights. Integrate data from various sources, improve data safety and security, and optimize your data infrastructure with us. Leverage the power of data to drive growth and innovation with our data engineering services.
Data science and AI
We use the newest technologies of Data Science and AI to understand your business better and stand apart from your competition. Make more data-driven decisions, Automate processes, reduce human error, Improve customer experience, and drive innovation with Assystant
Case study
Check out how Assystant has helped organizations on multiple fronts to solve their problems and get solutions that are specific to their organization.
Maximizing Efficiency: Streamlined Property Management
Our client required a CRM that could handle data of a huge magnitude. They required a CRM that would integrate well with their existing tool stack and would give them automated workflows. Since our client deals with a huge consumer base it requires a CRM that can handle a huge magnitude of data. They also needed a highly scalable CRM that would be much more efficient than their legacy system.
Managing Data from Body Sensor Devices: Biomedical Labs
The client is an Italy based medical device innovator, designer, and manufacturer that aims to improve people’s health through technology and innovation.Our consultants worked closely with the client to understand and analyze their products to advice on the features and architecture of the web and mobile applications. The architecture planning also involved the utmost care of the security aspect of the project because of a large volume of sensitive user’s health-related data
Effective implementation of AI to reduce back office cost
Our client has several Gaming-machines distributed in multiple locations. Each machine captured the usage log and its corresponding game data, and it was updated on a central server once every midnight. The data was then exported to a spreadsheet.We collaborated with the client to elicit requirements and document them. After gathering and analysing the requirements, we captured the data, collated it, and processed it for reporting.